Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: Monitoring & ops
2,430 results · page 78 of 81
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gwrc-hilltop-nzSkillMonitoring & ops
Query Greater Wellington Regional Council Hilltop environmental monitoring time series through a lightweight no-login CLI: rainfall gauges, river and stream levels and flows, monitoring site lists with coordinates, and per-site measurement catalogues. Use when the task involves Wellington-region rai
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hyalo-okfSkillMonitoring & ops
Maintain Open Knowledge Format vaults with Hyalo's OKF index, log, and conformance commands.
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launchdarkly-experiment-setupSkillMonitoring & ops
Set up and run experiments in LaunchDarkly. Create experiments with metrics, treatments, and flag config, start iterations to collect data, swap design between iterations, and stop with a winner.
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launchdarkly-guarded-rolloutSkillMonitoring & ops
Configure guarded rollouts with progressive traffic increases, metric monitoring, and automatic rollback. Use when releasing features gradually with safety thresholds.
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launchdarkly-metric-chooseSkillMonitoring & ops
Choose the right metrics for a LaunchDarkly experiment, guarded rollout, or release policy. Use when the user wants to know which metrics to use, which is the primary metric for an experiment, what guardrails to add, or which events to monitor in a rollout. Surfaces what will auto-attach from existi
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launchdarkly-metric-createSkillMonitoring & ops
Create a LaunchDarkly metric that measures what matters for an experiment or rollout. Use when the user wants to create a metric, track an event, measure page views, button clicks, conversion, latency, error rate, or any custom numeric or binary outcome. Instruments the event first when needed (incl
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launchdarkly-metric-instrumentSkillMonitoring & ops
Instrument a LaunchDarkly metric event in a codebase by adding a track() call. Use when the user wants to wire up an event, instrument an action for a metric, add tracking to a feature, or confirm that an event is flowing to LaunchDarkly.
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monitoring-authoringSkillMonitoring & ops
Author monitoring resources: PrometheusRules, ServiceMonitors, PodMonitors, AlertmanagerConfig, Silence CRs, and canary-checker health checks.
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nz-busesSkillMonitoring & ops
Query Wellington-region Metlink bus data through a lightweight read-only CLI for stops, routes, arrivals, service alerts, and vehicle positions. Use for Wellington buses only; do not use for Wellington trains, ferries, cable car, or Auckland Transport.
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nz-emergency-alertsSkillMonitoring & ops
Query official New Zealand CAP emergency alerts by location, region, agency and severity, aggregating NEMA Emergency Mobile Alerts and MetService severe weather watches/warnings. Use for current official alert retrieval; absence is not proof of safety.
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nz-road-closuresSkillMonitoring & ops
Query NZTA / Waka Kotahi state-highway road closures, roadworks, incidents, traffic cameras, routes, and regions. Use for NZ state highway conditions. Read-only; no alerts, accounts, or reporting.
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nz-trainsSkillMonitoring & ops
Query Wellington Metlink train lines through a lightweight read-only CLI using GTFS and GTFS-RT data. Use when the task involves Johnsonville, Kapiti, Hutt Valley, Melling, or Wairarapa Line stations, arrivals, delays, alerts, or live train positions. Requires METLINK_API_KEY.
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observability-derivationSkillMonitoring & ops
Derive a typed metric-obligation inventory from a DomainSpec spec's aspect docs (the doc->metrics rule method).
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observed-invocation-loopSkillMonitoring & ops
Observed Invocation Loop wraps Arcanum-managed skill, sigil, and spell invocations with a guaranteed post-run observability handoff. It turns each managed invocation into a safe invocation envelope, appends exactly one telemetry signal, updates reflection counters, and routes to reflection when conf
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on-call-handover-writerSkillMonitoring & ops
Formats structured end-of-shift summaries covering active incidents, degraded services, and pending follow-ups.
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online-evalsSkillMonitoring & ops
Attach judges to config variations for automatic LLM-as-a-judge evaluation. Create custom judges, configure sampling rates, and monitor quality scores.
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research-evidence-harnessSkillMonitoring & ops
Use when: converting research protocols into validated run schemas, JSONL fixture checks, objective/metric calculations, result summaries, and claim-adjudication readiness without running or overclaiming live experiments.
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safeswim-nzSkillMonitoring & ops
Query SafeSwim NZ public swimming-location water quality, swimming conditions, wastewater overflow alerts, and hour-by-hour forecast data through a no-login REST API. Use when the task involves SafeSwim-supported NZ beach/lake swimming safety, water quality (GREEN/AMBER/RED/RED+/BLACK), lifeguard/pa
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safetravel-nzSkillMonitoring & ops
Use when looking up New Zealand Government SafeTravel destination advice, advice levels, regional cautions, related alerts or news, or source timestamps. Read-only, official, keyless travel-advice lookup.
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sigil-developmentSkillMonitoring & ops
Use when: creating, revising, observing, reflecting on, or iterating a sigil through the governed sigil lifecycle. Includes subagent-based observability and telemetry generation.
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signal-observerSkillMonitoring & ops
Use when: deriving post-run behavior signals from a sigil invocation envelope and appending reusable observability telemetry.
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soc2-evidence-collectorSkillMonitoring & ops
Prepares automated audit trails, access review logs, change management records, and infrastructure evidence for SOC 2 audits.
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workflow-reflectSkillMonitoring & ops
Use when: analyzing accumulated sigil observability signals to produce evidence-backed workflow improvement proposals.
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ai-observability-promptfooSkillMonitoring & ops
Testing and evaluation framework for LLM prompts and applications -- promptfooconfig.yaml, assertions, model-graded evals, red teaming, CI/CD integration, custom providers, and comparative evaluation
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ai-orchestration-langchainSkillMonitoring & ops
LangChain.js patterns for building LLM applications — chat models, LCEL chains, prompt templates, structured output, agents, tools, RAG, streaming, and LangSmith tracing
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api-observability-axiom-pino-sentrySkillMonitoring & ops
Pino logging, Sentry error tracking, Axiom - structured logging with correlation IDs, error boundaries, performance monitoring, alerting
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api-observability-setup-axiom-pino-sentrySkillMonitoring & ops
Pino, Axiom, Sentry installation - one-time project setup for logging and error tracking with source maps upload
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crypto-watchSkillMonitoring & ops
Track cryptocurrency prices and fire alerts when a coin crosses a threshold. Use when the user asks for a crypto price, wants to watch a coin, set a price alert, or schedule periodic market check-ins. Uses the keyless CoinGecko API.
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log-triageSkillMonitoring & ops
Parse bot logs and Langfuse traces into a short incident digest — what broke, how often, and the likely cause. Use when the user asks why the bot errored, wants a summary of recent failures, is debugging a crash, or after heartbeat-monitor reports a red check.
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mapping-mitre-attack-techniquesSkillMonitoring & ops
Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security control
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What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.